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Advances in Sine Cosine Algorithm: A comprehensive survey

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Abstract

The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions. After providing an overview of the SCA algorithm, we survey a number of SCA variants and applications that have appeared in the literature. We then present the results of a series of computational experiments to validate the performance of the SCA against similar algorithms.

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Authors and Affiliations

  1. Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, 11953, Jordan

    Laith Abualigah

  2. Division of Engineering, New York University Abu Dhabi, Saadiyat Island, 129188, Abu Dhabi, UAE

    Ali Diabat

  3. Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 11201, USA

    Ali Diabat

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  1. Laith Abualigah
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Abualigah, L., Diabat, A. Advances in Sine Cosine Algorithm: A comprehensive survey. Artif Intell Rev 54, 2567–2608 (2021). https://doi.org/10.1007/s10462-020-09909-3

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